dbSNP Short Genetic Variations
Welcome to the Reference SNP (rs) Report
All alleles are reported in the Forward orientation. Click on the Variant Details tab for details on Genomic Placement, Gene, and Amino Acid changes. HGVS names are in the HGVS tab.
Reference SNP (rs) Report
This page reports data for a single dbSNP Reference SNP variation (RefSNP or rs) from the new redesigned dbSNP build.
Top of the page reports a concise summary for the rs, with more specific details included in the corresponding tabs below.
All alleles are reported in the Forward orientation. Use the Genomic View to inspect the nucleotides flanking the variant, and its neighbors.
For more information see Help documentation.
rs3782025
Current Build 156
Released September 21, 2022
- Organism
- Homo sapiens
- Position
-
chr11:113936885 (GRCh38.p14) Help
The anchor position for this RefSNP. Includes all nucleotides potentially affected by this change, thus it can differ from HGVS, which is right-shifted. See here for details.
- Alleles
- G>A / G>C / G>T
- Variation Type
- SNV Single Nucleotide Variation
- Frequency
-
G=0.439533 (116340/264690, TOPMED)G=0.451511 (63151/139866, GnomAD)G=0.46175 (44531/96440, ALFA) (+ 20 more)
- Clinical Significance
- Not Reported in ClinVar
- Gene : Consequence
- HTR3B : Intron Variant
- Publications
- 14 citations
- Genomic View
- See rs on genome
ALFA Allele Frequency
The ALFA project provide aggregate allele frequency from dbGaP. More information is available on the project page including descriptions, data access, and terms of use.
| Population | Group | Sample Size | Ref Allele | Alt Allele |
|---|---|---|---|---|
| Total | Global | 96440 | G=0.46175 | A=0.53825, T=0.00000 |
| European | Sub | 82726 | G=0.46994 | A=0.53006, T=0.00000 |
| African | Sub | 4334 | G=0.4631 | A=0.5369, T=0.0000 |
| African Others | Sub | 162 | G=0.519 | A=0.481, T=0.000 |
| African American | Sub | 4172 | G=0.4609 | A=0.5391, T=0.0000 |
| Asian | Sub | 248 | G=0.315 | A=0.685, T=0.000 |
| East Asian | Sub | 206 | G=0.330 | A=0.670, T=0.000 |
| Other Asian | Sub | 42 | G=0.24 | A=0.76, T=0.00 |
| Latin American 1 | Sub | 268 | G=0.381 | A=0.619, T=0.000 |
| Latin American 2 | Sub | 1316 | G=0.3845 | A=0.6155, T=0.0000 |
| South Asian | Sub | 4974 | G=0.3828 | A=0.6172, T=0.0000 |
| Other | Sub | 2574 | G=0.4110 | A=0.5890, T=0.0000 |
Frequency tab displays a table of the reference and alternate allele frequencies reported by various studies and populations. Table lines, where Population="Global" refer to the entire study population, whereas lines, where Group="Sub", refer to a study-specific population subgroupings (i.e. AFR, CAU, etc.), if available. Frequency for the alternate allele (Alt Allele) is a ratio of samples observed-to-total, where the numerator (observed samples) is the number of chromosomes in the study with the minor allele present (found in "Sample size", where Group="Sub"), and the denominator (total samples) is the total number of all chromosomes in the study for the variant (found in "Sample size", where Group="Study-wide" and Population="Global").
Download| Study | Population | Group | Sample Size | Ref Allele | Alt Allele |
|---|---|---|---|---|---|
| TopMed | Global | Study-wide | 264690 | G=0.439533 | A=0.560467 |
| gnomAD - Genomes | Global | Study-wide | 139866 | G=0.451511 | A=0.548489 |
| gnomAD - Genomes | European | Sub | 75764 | G=0.47325 | A=0.52675 |
| gnomAD - Genomes | African | Sub | 41874 | G=0.44596 | A=0.55404 |
| gnomAD - Genomes | American | Sub | 13632 | G=0.40376 | A=0.59624 |
| gnomAD - Genomes | Ashkenazi Jewish | Sub | 3320 | G=0.3666 | A=0.6334 |
| gnomAD - Genomes | East Asian | Sub | 3126 | G=0.3103 | A=0.6897 |
| gnomAD - Genomes | Other | Sub | 2150 | G=0.4330 | A=0.5670 |
| Allele Frequency Aggregator | Total | Global | 96440 | G=0.46175 | A=0.53825, T=0.00000 |
| Allele Frequency Aggregator | European | Sub | 82726 | G=0.46994 | A=0.53006, T=0.00000 |
| Allele Frequency Aggregator | South Asian | Sub | 4974 | G=0.3828 | A=0.6172, T=0.0000 |
| Allele Frequency Aggregator | African | Sub | 4334 | G=0.4631 | A=0.5369, T=0.0000 |
| Allele Frequency Aggregator | Other | Sub | 2574 | G=0.4110 | A=0.5890, T=0.0000 |
| Allele Frequency Aggregator | Latin American 2 | Sub | 1316 | G=0.3845 | A=0.6155, T=0.0000 |
| Allele Frequency Aggregator | Latin American 1 | Sub | 268 | G=0.381 | A=0.619, T=0.000 |
| Allele Frequency Aggregator | Asian | Sub | 248 | G=0.315 | A=0.685, T=0.000 |
| 14KJPN | JAPANESE | Study-wide | 28258 | G=0.23236 | A=0.76764 |
| 8.3KJPN | JAPANESE | Study-wide | 16758 | G=0.23410 | A=0.76590 |
| 1000Genomes_30x | Global | Study-wide | 6404 | G=0.3948 | A=0.6052 |
| 1000Genomes_30x | African | Sub | 1786 | G=0.4233 | A=0.5767 |
| 1000Genomes_30x | Europe | Sub | 1266 | G=0.4929 | A=0.5071 |
| 1000Genomes_30x | South Asian | Sub | 1202 | G=0.3652 | A=0.6348 |
| 1000Genomes_30x | East Asian | Sub | 1170 | G=0.2786 | A=0.7214 |
| 1000Genomes_30x | American | Sub | 980 | G=0.391 | A=0.609 |
| 1000Genomes | Global | Study-wide | 5008 | G=0.3968 | A=0.6032 |
| 1000Genomes | African | Sub | 1322 | G=0.4297 | A=0.5703 |
| 1000Genomes | East Asian | Sub | 1008 | G=0.2837 | A=0.7163 |
| 1000Genomes | Europe | Sub | 1006 | G=0.5020 | A=0.4980 |
| 1000Genomes | South Asian | Sub | 978 | G=0.359 | A=0.641 |
| 1000Genomes | American | Sub | 694 | G=0.399 | A=0.601 |
| Genetic variation in the Estonian population | Estonian | Study-wide | 4480 | G=0.5138 | A=0.4862 |
| The Avon Longitudinal Study of Parents and Children | PARENT AND CHILD COHORT | Study-wide | 3854 | G=0.4717 | A=0.5283 |
| UK 10K study - Twins | TWIN COHORT | Study-wide | 3708 | G=0.5054 | A=0.4946 |
| KOREAN population from KRGDB | KOREAN | Study-wide | 2930 | G=0.3212 | A=0.6788, C=0.0000 |
| HGDP-CEPH-db Supplement 1 | Global | Study-wide | 2082 | G=0.3780 | A=0.6220 |
| HGDP-CEPH-db Supplement 1 | Est_Asia | Sub | 468 | G=0.346 | A=0.654 |
| HGDP-CEPH-db Supplement 1 | Central_South_Asia | Sub | 414 | G=0.355 | A=0.645 |
| HGDP-CEPH-db Supplement 1 | Middle_Est | Sub | 350 | G=0.374 | A=0.626 |
| HGDP-CEPH-db Supplement 1 | Europe | Sub | 320 | G=0.494 | A=0.506 |
| HGDP-CEPH-db Supplement 1 | Africa | Sub | 242 | G=0.488 | A=0.512 |
| HGDP-CEPH-db Supplement 1 | America | Sub | 216 | G=0.301 | A=0.699 |
| HGDP-CEPH-db Supplement 1 | Oceania | Sub | 72 | G=0.08 | A=0.92 |
| HapMap | Global | Study-wide | 1890 | G=0.4222 | A=0.5778 |
| HapMap | American | Sub | 768 | G=0.385 | A=0.615 |
| HapMap | African | Sub | 692 | G=0.513 | A=0.487 |
| HapMap | Asian | Sub | 254 | G=0.260 | A=0.740 |
| HapMap | Europe | Sub | 176 | G=0.460 | A=0.540 |
| Korean Genome Project | KOREAN | Study-wide | 1832 | G=0.2909 | A=0.7091 |
| Genome of the Netherlands Release 5 | Genome of the Netherlands | Study-wide | 998 | G=0.455 | A=0.545 |
| CNV burdens in cranial meningiomas | Global | Study-wide | 790 | G=0.367 | A=0.633 |
| CNV burdens in cranial meningiomas | CRM | Sub | 790 | G=0.367 | A=0.633 |
| Northern Sweden | ACPOP | Study-wide | 600 | G=0.543 | A=0.457 |
| SGDP_PRJ | Global | Study-wide | 482 | G=0.299 | A=0.701 |
| Qatari | Global | Study-wide | 216 | G=0.301 | A=0.699 |
| A Vietnamese Genetic Variation Database | Global | Study-wide | 212 | G=0.307 | A=0.693 |
| Ancient Sardinia genome-wide 1240k capture data generation and analysis | Global | Study-wide | 88 | G=0.57 | A=0.43 |
| Siberian | Global | Study-wide | 48 | G=0.35 | A=0.65 |
| The Danish reference pan genome | Danish | Study-wide | 40 | G=0.53 | A=0.47 |
Variant Details tab shows known variant placements on genomic sequences: chromosomes (NC_), RefSeqGene, pseudogenes or genomic regions (NG_), and in a separate table: on transcripts (NM_) and protein sequences (NP_). The corresponding transcript and protein locations are listed in adjacent lines, along with molecular consequences from Sequence Ontology. When no protein placement is available, only the transcript is listed. Column "Codon[Amino acid]" shows the actual base change in the format of "Reference > Alternate" allele, including the nucleotide codon change in transcripts, and the amino acid change in proteins, respectively, allowing for known ribosomal slippage sites. To view nucleotides adjacent to the variant use the Genomic View at the bottom of the page - zoom into the sequence until the nucleotides around the variant become visible.
| Sequence name | Change |
|---|---|
| GRCh38.p14 chr 11 | NC_000011.10:g.113936885G>A |
| GRCh38.p14 chr 11 | NC_000011.10:g.113936885G>C |
| GRCh38.p14 chr 11 | NC_000011.10:g.113936885G>T |
| GRCh37.p13 chr 11 | NC_000011.9:g.113807607G>A |
| GRCh37.p13 chr 11 | NC_000011.9:g.113807607G>C |
| GRCh37.p13 chr 11 | NC_000011.9:g.113807607G>T |
| HTR3B RefSeqGene | NG_011483.1:g.37019G>A |
| HTR3B RefSeqGene | NG_011483.1:g.37019G>C |
| HTR3B RefSeqGene | NG_011483.1:g.37019G>T |
| Molecule type | Change | Amino acid[Codon] | SO Term |
|---|---|---|---|
| HTR3B transcript variant 2 |
NM_001363563.2:c.663+3792… NM_001363563.2:c.663+3792G>A |
N/A | Intron Variant |
| HTR3B transcript variant 1 | NM_006028.5:c.696+3792G>A | N/A | Intron Variant |
| HTR3B transcript variant X1 |
XM_017018552.3:c.489+3792… XM_017018552.3:c.489+3792G>A |
N/A | Intron Variant |
| HTR3B transcript variant X2 |
XM_024448767.2:c.402+3792… XM_024448767.2:c.402+3792G>A |
N/A | Intron Variant |
| HTR3B transcript variant X3 |
XM_047427869.1:c.663+3792… XM_047427869.1:c.663+3792G>A |
N/A | Intron Variant |
Clinical Significance tab shows a list of clinical significance entries from ClinVar associated with the variation, per allele. Click on the RCV accession (i.e. RCV000001615.2) or Allele ID (i.e. 12274) to access full ClinVar report.
Aliases tab displays HGVS names representing the variant placements and allele changes on genomic, transcript and protein sequences, per allele. HGVS name is an expression for reporting sequence accession and version, sequence type, position, and allele change. The column "Note" can have two values: "diff" means that there is a difference between the reference allele (variation interval) at the placement reported in HGVS name and the reference alleles reported in other HGVS names, and "rev" means that the sequence of this variation interval at the placement reported in HGVS name is in reverse orientation to the sequence(s) of this variation in other HGVS names not labeled as "rev".
| Placement | G= | A | C | T |
|---|---|---|---|---|
| GRCh38.p14 chr 11 | NC_000011.10:g.113936885= | NC_000011.10:g.113936885G>A | NC_000011.10:g.113936885G>C | NC_000011.10:g.113936885G>T |
| GRCh37.p13 chr 11 | NC_000011.9:g.113807607= | NC_000011.9:g.113807607G>A | NC_000011.9:g.113807607G>C | NC_000011.9:g.113807607G>T |
| HTR3B RefSeqGene | NG_011483.1:g.37019= | NG_011483.1:g.37019G>A | NG_011483.1:g.37019G>C | NG_011483.1:g.37019G>T |
| HTR3B transcript variant 2 | NM_001363563.2:c.663+3792= | NM_001363563.2:c.663+3792G>A | NM_001363563.2:c.663+3792G>C | NM_001363563.2:c.663+3792G>T |
| HTR3B transcript variant 1 | NM_006028.4:c.696+3792= | NM_006028.4:c.696+3792G>A | NM_006028.4:c.696+3792G>C | NM_006028.4:c.696+3792G>T |
| HTR3B transcript variant 1 | NM_006028.5:c.696+3792= | NM_006028.5:c.696+3792G>A | NM_006028.5:c.696+3792G>C | NM_006028.5:c.696+3792G>T |
| HTR3B transcript variant X1 | XM_017018552.3:c.489+3792= | XM_017018552.3:c.489+3792G>A | XM_017018552.3:c.489+3792G>C | XM_017018552.3:c.489+3792G>T |
| HTR3B transcript variant X2 | XM_024448767.2:c.402+3792= | XM_024448767.2:c.402+3792G>A | XM_024448767.2:c.402+3792G>C | XM_024448767.2:c.402+3792G>T |
| HTR3B transcript variant X3 | XM_047427869.1:c.663+3792= | XM_047427869.1:c.663+3792G>A | XM_047427869.1:c.663+3792G>C | XM_047427869.1:c.663+3792G>T |
Submissions tab displays variations originally submitted to dbSNP, now supporting this RefSNP cluster (rs). We display Submitter handle, Submission identifier, Date and Build number, when the submission appeared for the first time. Direct submissions to dbSNP have Submission ID in the form of an ss-prefixed number (ss#). Other supporting variations are listed in the table without ss#.
| No | Submitter | Submission ID | Date (Build) |
|---|---|---|---|
| 1 | YUSUKE | ss4968093 | Aug 28, 2002 (107) |
| 2 | SC_SNP | ss16120817 | Feb 27, 2004 (120) |
| 3 | CSHL-HAPMAP | ss19199652 | Feb 27, 2004 (120) |
| 4 | PERLEGEN | ss24568528 | Sep 20, 2004 (123) |
| 5 | ABI | ss38677508 | Mar 14, 2006 (126) |
| 6 | ILLUMINA | ss65781153 | Oct 13, 2006 (127) |
| 7 | ILLUMINA | ss66616813 | Nov 29, 2006 (127) |
| 8 | ILLUMINA | ss67302519 | Nov 29, 2006 (127) |
| 9 | ILLUMINA | ss67707426 | Nov 29, 2006 (127) |
| 10 | ILLUMINA | ss70781169 | May 24, 2008 (130) |
| 11 | ILLUMINA | ss71357613 | May 16, 2007 (127) |
| 12 | ILLUMINA | ss75468664 | Dec 06, 2007 (129) |
| 13 | ILLUMINA | ss79166855 | Dec 14, 2007 (130) |
| 14 | HGSV | ss81107127 | Dec 14, 2007 (130) |
| 15 | HGSV | ss81670522 | Dec 14, 2007 (130) |
| 16 | KRIBB_YJKIM | ss84181639 | Dec 14, 2007 (130) |
| 17 | HUMANGENOME_JCVI | ss97512728 | Feb 04, 2009 (130) |
| 18 | 1000GENOMES | ss111106107 | Jan 25, 2009 (130) |
| 19 | ILLUMINA-UK | ss119961480 | Dec 01, 2009 (131) |
| 20 | ILLUMINA | ss122220677 | Dec 01, 2009 (131) |
| 21 | ENSEMBL | ss131954343 | Dec 01, 2009 (131) |
| 22 | ILLUMINA | ss154268616 | Dec 01, 2009 (131) |
| 23 | GMI | ss156813510 | Dec 01, 2009 (131) |
| 24 | ILLUMINA | ss159445392 | Dec 01, 2009 (131) |
| 25 | ILLUMINA | ss171651554 | Jul 04, 2010 (132) |
| 26 | ILLUMINA | ss173636970 | Jul 04, 2010 (132) |
| 27 | BUSHMAN | ss203232024 | Jul 04, 2010 (132) |
| 28 | 1000GENOMES | ss211199304 | Jul 14, 2010 (132) |
| 29 | 1000GENOMES | ss225471331 | Jul 14, 2010 (132) |
| 30 | 1000GENOMES | ss235726239 | Jul 15, 2010 (132) |
| 31 | 1000GENOMES | ss242322847 | Jul 15, 2010 (132) |
| 32 | ILLUMINA | ss244297005 | Jul 04, 2010 (132) |
| 33 | BL | ss255385080 | May 09, 2011 (134) |
| 34 | GMI | ss281177692 | May 04, 2012 (137) |
| 35 | GMI | ss286460870 | Apr 25, 2013 (138) |
| 36 | PJP | ss291143446 | May 09, 2011 (134) |
| 37 | ILLUMINA | ss479461530 | May 04, 2012 (137) |
| 38 | ILLUMINA | ss482725500 | May 04, 2012 (137) |
| 39 | ILLUMINA | ss533007770 | Sep 08, 2015 (146) |
| 40 | TISHKOFF | ss562837355 | Apr 25, 2013 (138) |
| 41 | SSMP | ss658360928 | Apr 25, 2013 (138) |
| 42 | ILLUMINA | ss779590985 | Sep 08, 2015 (146) |
| 43 | ILLUMINA | ss780987242 | Sep 08, 2015 (146) |
| 44 | ILLUMINA | ss825497373 | Apr 01, 2015 (144) |
| 45 | ILLUMINA | ss832956954 | Jul 13, 2019 (153) |
| 46 | ILLUMINA | ss835062770 | Sep 08, 2015 (146) |
| 47 | EVA-GONL | ss988982059 | Aug 21, 2014 (142) |
| 48 | JMKIDD_LAB | ss1078059168 | Aug 21, 2014 (142) |
| 49 | 1000GENOMES | ss1343039021 | Aug 21, 2014 (142) |
| 50 | DDI | ss1426766591 | Apr 01, 2015 (144) |
| 51 | EVA_GENOME_DK | ss1575963599 | Apr 01, 2015 (144) |
| 52 | EVA_DECODE | ss1598648250 | Apr 01, 2015 (144) |
| 53 | EVA_UK10K_ALSPAC | ss1627502207 | Apr 01, 2015 (144) |
| 54 | EVA_UK10K_TWINSUK | ss1670496240 | Apr 01, 2015 (144) |
| 55 | EVA_SVP | ss1713286152 | Apr 01, 2015 (144) |
| 56 | HAMMER_LAB | ss1807004915 | Sep 08, 2015 (146) |
| 57 | WEILL_CORNELL_DGM | ss1932343182 | Feb 12, 2016 (147) |
| 58 | GENOMED | ss1967463372 | Jul 19, 2016 (147) |
| 59 | JJLAB | ss2026915514 | Sep 14, 2016 (149) |
| 60 | USC_VALOUEV | ss2155228210 | Dec 20, 2016 (150) |
| 61 | HUMAN_LONGEVITY | ss2185859608 | Dec 20, 2016 (150) |
| 62 | SYSTEMSBIOZJU | ss2627932439 | Nov 08, 2017 (151) |
| 63 | ILLUMINA | ss2632889491 | Nov 08, 2017 (151) |
| 64 | GRF | ss2699538336 | Nov 08, 2017 (151) |
| 65 | ILLUMINA | ss2710746571 | Nov 08, 2017 (151) |
| 66 | GNOMAD | ss2904664999 | Nov 08, 2017 (151) |
| 67 | AFFY | ss2985599372 | Nov 08, 2017 (151) |
| 68 | SWEGEN | ss3008809454 | Nov 08, 2017 (151) |
| 69 | BIOINF_KMB_FNS_UNIBA | ss3027258509 | Nov 08, 2017 (151) |
| 70 | CSHL | ss3349803354 | Nov 08, 2017 (151) |
| 71 | ILLUMINA | ss3626753933 | Oct 12, 2018 (152) |
| 72 | ILLUMINA | ss3630903341 | Oct 12, 2018 (152) |
| 73 | ILLUMINA | ss3637931401 | Oct 12, 2018 (152) |
| 74 | ILLUMINA | ss3638979398 | Oct 12, 2018 (152) |
| 75 | ILLUMINA | ss3639490956 | Oct 12, 2018 (152) |
| 76 | ILLUMINA | ss3641757915 | Oct 12, 2018 (152) |
| 77 | ILLUMINA | ss3642927808 | Oct 12, 2018 (152) |
| 78 | URBANLAB | ss3649708969 | Oct 12, 2018 (152) |
| 79 | EGCUT_WGS | ss3676137248 | Jul 13, 2019 (153) |
| 80 | EVA_DECODE | ss3692634596 | Jul 13, 2019 (153) |
| 81 | ACPOP | ss3738555764 | Jul 13, 2019 (153) |
| 82 | EVA | ss3749834677 | Jul 13, 2019 (153) |
| 83 | PACBIO | ss3787072503 | Jul 13, 2019 (153) |
| 84 | PACBIO | ss3792195908 | Jul 13, 2019 (153) |
| 85 | PACBIO | ss3797078427 | Jul 13, 2019 (153) |
| 86 | KHV_HUMAN_GENOMES | ss3815164534 | Jul 13, 2019 (153) |
| 87 | EVA | ss3832848106 | Apr 26, 2020 (154) |
| 88 | EVA | ss3839986502 | Apr 26, 2020 (154) |
| 89 | EVA | ss3845468222 | Apr 26, 2020 (154) |
| 90 | HGDP | ss3847431964 | Apr 26, 2020 (154) |
| 91 | SGDP_PRJ | ss3877174653 | Apr 26, 2020 (154) |
| 92 | KRGDB | ss3925633602 | Apr 26, 2020 (154) |
| 93 | KOGIC | ss3970783639 | Apr 26, 2020 (154) |
| 94 | EVA | ss3984657591 | Apr 26, 2021 (155) |
| 95 | EVA | ss3985558125 | Apr 26, 2021 (155) |
| 96 | EVA | ss4017559952 | Apr 26, 2021 (155) |
| 97 | TOPMED | ss4900623141 | Apr 26, 2021 (155) |
| 98 | TOMMO_GENOMICS | ss5203971027 | Apr 26, 2021 (155) |
| 99 | 1000G_HIGH_COVERAGE | ss5288965612 | Oct 16, 2022 (156) |
| 100 | EVA | ss5315577979 | Oct 16, 2022 (156) |
| 101 | EVA | ss5402361004 | Oct 16, 2022 (156) |
| 102 | HUGCELL_USP | ss5483948477 | Oct 16, 2022 (156) |
| 103 | 1000G_HIGH_COVERAGE | ss5585483677 | Oct 16, 2022 (156) |
| 104 | SANFORD_IMAGENETICS | ss5652108312 | Oct 16, 2022 (156) |
| 105 | TOMMO_GENOMICS | ss5752442450 | Oct 16, 2022 (156) |
| 106 | YY_MCH | ss5812791955 | Oct 16, 2022 (156) |
| 107 | EVA | ss5837254513 | Oct 16, 2022 (156) |
| 108 | EVA | ss5850158452 | Oct 16, 2022 (156) |
| 109 | EVA | ss5921731502 | Oct 16, 2022 (156) |
| 110 | EVA | ss5943439504 | Oct 16, 2022 (156) |
| 111 | 1000Genomes | NC_000011.9 - 113807607 | Oct 12, 2018 (152) |
| 112 | 1000Genomes_30x | NC_000011.10 - 113936885 | Oct 16, 2022 (156) |
| 113 | The Avon Longitudinal Study of Parents and Children | NC_000011.9 - 113807607 | Oct 12, 2018 (152) |
| 114 | Genetic variation in the Estonian population | NC_000011.9 - 113807607 | Oct 12, 2018 (152) |
| 115 | The Danish reference pan genome | NC_000011.9 - 113807607 | Apr 26, 2020 (154) |
| 116 | gnomAD - Genomes | NC_000011.10 - 113936885 | Apr 26, 2021 (155) |
| 117 | Genome of the Netherlands Release 5 | NC_000011.9 - 113807607 | Apr 26, 2020 (154) |
| 118 | HGDP-CEPH-db Supplement 1 | NC_000011.8 - 113312817 | Apr 26, 2020 (154) |
| 119 | HapMap | NC_000011.10 - 113936885 | Apr 26, 2020 (154) |
| 120 | KOREAN population from KRGDB | NC_000011.9 - 113807607 | Apr 26, 2020 (154) |
| 121 | Korean Genome Project | NC_000011.10 - 113936885 | Apr 26, 2020 (154) |
| 122 | Northern Sweden | NC_000011.9 - 113807607 | Jul 13, 2019 (153) |
| 123 | Ancient Sardinia genome-wide 1240k capture data generation and analysis | NC_000011.9 - 113807607 | Apr 26, 2021 (155) |
| 124 | CNV burdens in cranial meningiomas | NC_000011.9 - 113807607 | Apr 26, 2021 (155) |
| 125 | Qatari | NC_000011.9 - 113807607 | Apr 26, 2020 (154) |
| 126 | SGDP_PRJ | NC_000011.9 - 113807607 | Apr 26, 2020 (154) |
| 127 | Siberian | NC_000011.9 - 113807607 | Apr 26, 2020 (154) |
| 128 | 8.3KJPN | NC_000011.9 - 113807607 | Apr 26, 2021 (155) |
| 129 | 14KJPN | NC_000011.10 - 113936885 | Oct 16, 2022 (156) |
| 130 | TopMed | NC_000011.10 - 113936885 | Apr 26, 2021 (155) |
| 131 | UK 10K study - Twins | NC_000011.9 - 113807607 | Oct 12, 2018 (152) |
| 132 | A Vietnamese Genetic Variation Database | NC_000011.9 - 113807607 | Jul 13, 2019 (153) |
| 133 | ALFA | NC_000011.10 - 113936885 | Apr 26, 2021 (155) |
History tab displays RefSNPs (Associated ID) from previous builds (Build) that now support the current RefSNP, and the dates, when the history was updated for each Associated ID (History Updated).
| Associated ID | History Updated (Build) |
|---|---|
| rs17614850 | Oct 08, 2004 (123) |
| rs58165125 | May 24, 2008 (130) |
| Submission IDs | Observation SPDI | Canonical SPDI | Source RSIDs |
|---|---|---|---|
| 109856, ss81107127, ss81670522, ss111106107, ss119961480, ss203232024, ss211199304, ss255385080, ss281177692, ss286460870, ss291143446, ss482725500, ss825497373, ss1598648250, ss1713286152, ss3638979398, ss3639490956, ss3642927808, ss3847431964 | NC_000011.8:113312816:G:A | NC_000011.10:113936884:G:A | (self) |
| 55623920, 30875467, 21875496, 2742882, 13778567, 32810996, 11840629, 784052, 207077, 14385112, 29191633, 7744564, 61940334, 30875467, 6852466, ss225471331, ss235726239, ss242322847, ss479461530, ss533007770, ss562837355, ss658360928, ss779590985, ss780987242, ss832956954, ss835062770, ss988982059, ss1078059168, ss1343039021, ss1426766591, ss1575963599, ss1627502207, ss1670496240, ss1807004915, ss1932343182, ss1967463372, ss2026915514, ss2155228210, ss2627932439, ss2632889491, ss2699538336, ss2710746571, ss2904664999, ss2985599372, ss3008809454, ss3349803354, ss3626753933, ss3630903341, ss3637931401, ss3641757915, ss3676137248, ss3738555764, ss3749834677, ss3787072503, ss3792195908, ss3797078427, ss3832848106, ss3839986502, ss3877174653, ss3925633602, ss3984657591, ss3985558125, ss4017559952, ss5203971027, ss5315577979, ss5402361004, ss5652108312, ss5837254513, ss5943439504 | NC_000011.9:113807606:G:A | NC_000011.10:113936884:G:A | (self) |
| 73009612, 392497293, 703129, 27161640, 86279554, 116168797, 9946717312, ss2185859608, ss3027258509, ss3649708969, ss3692634596, ss3815164534, ss3845468222, ss3970783639, ss4900623141, ss5288965612, ss5483948477, ss5585483677, ss5752442450, ss5812791955, ss5850158452, ss5921731502 | NC_000011.10:113936884:G:A | NC_000011.10:113936884:G:A | (self) |
| ss16120817, ss19199652 | NT_033899.6:17351393:G:A | NC_000011.10:113936884:G:A | (self) |
| ss4968093, ss24568528, ss38677508, ss65781153, ss66616813, ss67302519, ss67707426, ss70781169, ss71357613, ss75468664, ss79166855, ss84181639, ss97512728, ss122220677, ss131954343, ss154268616, ss156813510, ss159445392, ss171651554, ss173636970, ss244297005 | NT_033899.8:17370022:G:A | NC_000011.10:113936884:G:A | (self) |
| 32810996, ss3925633602 | NC_000011.9:113807606:G:C | NC_000011.10:113936884:G:C | (self) |
| 9946717312 | NC_000011.10:113936884:G:T | NC_000011.10:113936884:G:T | (self) |
Publications tab displays PubMed articles citing the variation as a listing of PMID, Title, Author, Year, Journal, ordered by Year, descending.
| PMID | Title | Author | Year | Journal |
|---|---|---|---|---|
| 18937842 | The influence of serotonin- and other genes on impulsive behavioral aggression and cognitive impulsivity in children with attention-deficit/hyperactivity disorder (ADHD): Findings from a family-based association test (FBAT) analysis. | Oades RD et al. | 2008 | Behavioral and brain functions |
| 19185213 | HTR3B is associated with alcoholism with antisocial behavior and alpha EEG power--an intermediate phenotype for alcoholism and co-morbid behaviors. | Ducci F et al. | 2009 | Alcohol (Fayetteville, N.Y.) |
| 20838391 | Functional genetic variants that increase synaptic serotonin and 5-HT3 receptor sensitivity predict alcohol and drug dependence. | Enoch MA et al. | 2011 | Molecular psychiatry |
| 21184810 | Are serotonin 3A and 3B receptor genes associated with suicidal behavior in schizophrenia subjects? | Souza RP et al. | 2011 | Neuroscience letters |
| 21570824 | Clinical and genetic factors associated with nausea and vomiting in cancer patients receiving opioids. | Laugsand EA et al. | 2011 | European journal of cancer (Oxford, England |
| 22933845 | Polymorphisms of the serotonin transporter and receptor genes: susceptibility to substance abuse. | Herman AI et al. | 2012 | Substance abuse and rehabilitation |
| 23757001 | Association, interaction, and replication analysis of genes encoding serotonin transporter and 5-HT3 receptor subunits A and B in alcohol dependence. | Seneviratne C et al. | 2013 | Human genetics |
| 23766564 | Pharmacogenetics of chronic pain and its treatment. | Světlík S et al. | 2013 | Mediators of inflammation |
| 25948405 | Can variability in the effect of opioids on refractory breathlessness be explained by genetic factors? | Currow DC et al. | 2015 | BMJ open |
| 26516523 | Pharmacogenetics of analgesic drugs. | Cregg R et al. | 2013 | British journal of pain |
| 27247849 | Genetic variation and cognitive dysfunction in opioid-treated patients with cancer. | Kurita GP et al. | 2016 | Brain and behavior |
| 27616601 | Common variants of HTR3 genes are associated with obsessive-compulsive disorder and its phenotypic expression. | Kim HW et al. | 2016 | Scientific reports |
| 30093869 | Biological Predictors of Clozapine Response: A Systematic Review. | Samanaite R et al. | 2018 | Frontiers in psychiatry |
| 34750329 | Background sensitivity to chemotherapy-induced nausea and vomiting and response to antiemetics in paediatric patients: a genetic association study. | Eliasen A et al. | 2022 | Pharmacogenetics and genomics |
The Flanks tab provides retrieving flanking sequences of a SNP on all molecules that have placements.
Genomic regions, transcripts, and products
Top▲
Help
NCBI Graphical Sequence Viewer display of the genomic region, transcripts and protein products for the reported RefSNP (rs).
Use the zoom option to view the nucleotides around the RefSNP and find other neighboring RefSNPs.
Visit Sequence Viewer for help with navigating inside the display and modifying the selection of displayed data tracks.
NCBI Graphical Sequence Viewer display of the genomic region, transcripts and protein products for the reported RefSNP (rs).
Use the zoom option to view the nucleotides around the RefSNP and find other neighboring RefSNPs.
Visit Sequence Viewer for help with navigating inside the display and modifying the selection of displayed data tracks.